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Concept of UCN Source at WWR-K Reactor (AlSUN) | Advanced Neutron #Sciencefather #Researcherawards

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Introduction The development of an ultracold neutron (UCN) source in combination with a superfluid helium-4 converter positioned within the thermal column of the WWR-K research reactor introduces a promising pathway to improve neutron experimental capabilities in Kazakhstan. The conceptual framework involves producing, accumulating, and transporting UCNs at high efficiency while ensuring minimal energy loss across the conversion and transfer system. This approach supports advanced nuclear physics investigations including fundamental particle behavior, neutron decay studies , and surface interaction experiments, all of which rely on intense UCN flux with superior storage lifetimes. Thus, this initiative marks a significant step toward the enhancement of neutron-based research infrastructure and experimental precision. UCN Production and Accumulation Strategy A central research component of this concept lies in the mechanism of accumulating ultracold neutrons directly within the so...
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Synthetic Hamiltonian Energy Prediction Using TimeGAN | Neurorehabilitation ML Study #Sciencefather #Researcherawards

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Introduction The presented study introduces an advanced assessment framework for haptic interaction systems utilizing Hamiltonian energy prediction to support neurorehabilitation processes. With robotic assistance becoming a crucial component in motor recovery therapies, the challenge persists in ensuring system stability and reliability when human interaction introduces unpredictable behavior. This work addresses these complexities through a machine-learning-driven model capable of accurately estimating total mechanical energy using motion-based input signals. Such an approach provides a pathway toward objective performance evaluation, transforming the rehabilitation field through quantitative insights rather than subjective interpretation. Regression-Based Hamiltonian Energy Prediction A central contribution of this research lies in the development of a regression-based predictive engine designed to estimate total mechanical energy using robot position and velocity data. The model se...
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Best Innovation Award | Recognizing Pioneering Ideas & Breakthrough Research #Sciencefather #Researcherawards

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Introduction The Best Innovation Award represents a hallmark of excellence in research, honoring individuals who contribute visionary ideas and transformative breakthroughs to global scientific development . This recognition reflects originality, advanced methodologies, and real-world impact that shape the future of technology, science, and industry. It positions innovators at the forefront of progress, empowering them to elevate problem-solving approaches and introduce pioneering concepts that redefine possibility in modern research landscapes. Research Innovation and Scientific Advancement Modern research thrives on innovation that challenges traditional frameworks and delivers solutions with measurable outcomes. The Best Innovation Award highlights exceptional contributions where creativity intersects with scientific rigor, resulting in advancements capable of shifting theoretical and practical foundations. This recognition encourages continuous evolution in research design, experi...
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Molecular Dynamics Insights on Thin-Film Lubrication #Sciencefather #Researcherawards

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Introduction Thin Film Lubrication (TFL) represents a critical transitional regime between elastohydrodynamic lubrication (EHL) and boundary lubrication (BL), where conventional continuum theories often fail to capture the complex interplay of thermal and molecular-scale behaviors. Under high speed and extreme load, the molecular arrangement, heat transfer capability, and shear flow characteristics of lubricants deviate significantly from classical expectations, requiring more advanced atomistic investigation. This study employs non-equilibrium molecular dynamics (NEMD) simulations with poly-α-olefin (PAO2) to examine the thermal and rheological responses of ultrathin lubricant films under varying pressures and sliding velocities. Such an approach enables direct observation of temperature evolution, flow transitions, and molecular ordering mechanisms—critical insights that advance the fundamental understanding of lubrication science and tribological performance under severe operating ...
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Young’s Modulus Variation Cement Adhesives Thermal Action in LRHS #Sciencefather #Researcherawards

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Introduction Lightweight radiant heating systems (LRHSs) rely heavily on the performance of deformable cement adhesives , as these materials replace conventional screeds and act as the primary bonding layer between the thermal insulation and floor surface. The mechanical stability of these adhesives under temperature variation is crucial, especially when exposed to thermal actions between 30 °C and 50 °C. Changes in Young’s modulus (E) significantly influence the structural behavior of these systems, potentially leading to interface failure , reduced layer integrity, and delamination . Understanding how adhesives such as C2S1 and C2S2 respond to thermal conditions is essential for predicting system durability and improving structural safety in modern heating system applications. Thermal Influence on Young’s Modulus of Cement Adhesives The thermal sensitivity of cement adhesive mortars presents a key focus for research, particularly in the context of LRHSs where temperature fluct...
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Laser Powder Bed Fusion of 25CrMo4 Steel: Metallurgy & Mechanics #Sciencefather #Researcherawards

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Introduction The evolution of additive manufacturing has enabled precise control over microstructural and mechanical properties , particularly in advanced steels such as 25CrMo4 . This study explores how laser-based powder bed fusion of metals (PBF-LB/M) influences material outcomes when key printing parameters—laser power, scan speed, and layer thickness—are systematically varied. By examining how volumetric energy density (VED) and linear energy density (LED) affect hardness, porosity , and mechanical strengths, the research provides foundational insights into achieving optimal metallurgical integrity in 3D-printed high-strength steels. The findings highlight that balanced energy inputs are critical for improving performance while avoiding brittleness. Influence of Energy Density on Metallurgical Characteristics This topic investigates how fluctuations in VED and LED modify the metallurgical behavior of 25CrMo4 steel during the PBF-LB/M process. Higher VED values promote full me...
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Magnesium Silicate Hydrate Cement & Radioactive Resins Impact #Sciencefather #Researcherawards

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Introduction The safe management and disposal of liquid radioactive waste remain critical challenges for nuclear facilities worldwide. Ion exchange resins are widely applied to treat such wastes, yet their disposal requires reliable immobilization strategies to prevent environmental contamination. Magnesium silicate hydrate cement (MSHC) has recently gained attention as an alternative solidification matrix due to its superior bonding characteristics, lower alkalinity, and enhanced compatibility with organic materials. The present study explores the feasibility of using MSHC to immobilize radioactive waste resins containing Cs⁺, Sr²⁺, and mixed Cs⁺/Sr²⁺ ions, focusing on hydration behavior, mechanical performance, durability, and leaching mechanisms . Hydration Behavior of MSHC with Radioactive Resins The incorporation of ion exchange waste resins into the MSHC matrix was found to influence the hydration reaction kinetics. Analytical techniques such as hydration heat measurement, ...
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